Dataset Versions
Versions
Original Images - Cornell Grasp Dataset - Augmented - Color - Corrected Annotations - 2023-04-27 2-03am
v19
· 2 years ago
Original Images - Cornell Grasp Dataset - Augmented - Grayscale - Corrected Annotations - 2023-04-27 2-01am
v18
· 2 years ago
Original Images - Cornell Grasp Dataset - Augmented - Color 2023-04-14 3-33pm
v16
· 2 years ago
Original Images - Cornell Grasp Dataset - Augmented - Grayscale 2023-04-14 3-32pm
v15
· 2 years ago
Original Images - Cornell Grasp Dataset - Augmented 2023-03-24 6-54pm
v11
· 2 years ago
Original Images - Cornell Grasp Dataset - Augmented 2023-03-24 2-08pm
v10
· 2 years ago
Original Images - Cornell Grasp Dataset 2023-03-22 11-25pm
v8
· 2 years ago
Original Images - Cornell Grasp Dataset 2023-03-14 4-19pm
v7
· 2 years ago
Original Images - Cornell Grasp Dataset 2023-03-13 11-38pm
v6
· 2 years ago
Original Images 2023-03-03 3-15am
v5
· 2 years ago
Original Images 2023-03-03 2-05am
v4
· 2 years ago
Original Images 2023-03-03 1-27am
v3
· 2 years ago
Original Images 2023-02-28 4-02pm
v1
· 2 years ago
v16
Original Images - Cornell Grasp Dataset - Augmented - Color 2023-04-14 3-33pm
Generated on Apr 14, 2023
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv9.
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TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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1956 Total Images
View All Images
Dataset Split
Train Set 74%
1450Images
Valid Set 16%
306Images
Test Set 10%
200Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1024x1024
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down